一种利用虚拟极坐标的横向融合算法  

Horizontal data fusion algorithm using virtual polar coordinate

作　　者：张敬[1] 杨云[1,2] 陈拥军[1] 石婷婷[1] 陈洁[1] 

机构地区：[1]扬州大学信息工程学院计算机科学与工程系,江苏扬州225009 [2]南京理工大学计算机应用博士后流动站,南京210004

出　　处：《计算机应用研究》2010年第11期4268-4271,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(60803122);扬州大学研究生创新基金资助项目(20092516)

摘　　要：针对无线传感器网络汇聚节点周围的热区问题提出一种横向融合的算法,从簇首中再挑选出一部分节点充当融合点,将数据包充分融合,以减少网络中流动的数据包数量。该算法通过给节点标记跳数和角度范围,建立虚拟极坐标结构。利用角度选择融合点,外层节点数据横向传送到融合点进行充分融合再递交给内层节点,以减少内层节点负担,从而缓解热区节点能耗过快的情况。This paper presented a horizontal integration algorithm to solve the issues of hot spots in wireless sensor network.Some node selected from the cluster head nodes acted as integration nodes,the full integration of the data packages in order to decrease the numbers of data packages flowing in the network.The algorithm established a virtual polar structure through assigning the number of hops and the angel of the scope to the nodes.Using the angle value to choose integration nodes,the algorithm made the outer level nodes to send data packages to the integration nodes of the same level.Data packages were full integrated before be submitted to the inner level nodes in order to reduce the burden of the inner level nodes.The algorithm alleviates the issue of hot spot and preserves node energy consumption.

关 键 词：无线传感器 分簇算法 热区 虚拟极坐标 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]